May 2021 – May 2025 · 4 yrs · Gurugram, Haryana, India · Hybrid

• Driving innovation with Generative AI, LLMs, RAG, and Cybersecurity AI
• Used AWS Bedrock and Llama 3.3 models to build a scalable LLM and GraphRAG enabled Chatbot to handle questions related to Vulnerabilities, Remediations Ticket and environment details in real time.
• Used LightRAG to build scalable GraphRAG and LLM enabled GenAI solution to Identify Gaps, provide recommendations and generate a Assesment report comparing Companies Internal policies with Industry standard Frameworks.
• Built & deployed real-time LLM-powered threat intelligence solutions, reducing incident triage time by 70% for multiple clients.
• Developed Graph based lateral movement detection solutions for enterprise cybersecurity, enhancing attack path prediction.
• Optimized LLM-based summarization models for real-time SOC alert processing, increasing analyst efficiency by 5x.
• Led AI/ML strategy & MLOps implementation, managing end-to-end AI pipelines from data ingestion to deployment.
• Mentored & led AI teams in designing scalable AI architectures, improving AI adoption across Fortune 500 clients.

Apr 2019 – May 2021 · 2 yrs 1 mo · Noida Area, India

• In my role as a Machine Learning Researcher within the R&D division at Sopra Steria India, I actively engaged in benchmarking state-of-the-art tools and technologies, applying them to both structured and unstructured datasets. My work was significantly inclined towards leading research in Natural Language Processing (NLP) and related topics.
• One of my key projects involved utilizing reinforcement learning to address optimization problems in real-world scenarios, specifically in Product Lifecycle Management. This involved exhaustive benchmarking tasks for AutoML, which culminated in a comprehensive proposal for stakeholders about the technology's potential.
• Further, I led the development and Proof of Concept (POC) of a custom Speech to Speech Translation Engine system, introducing subsequent enhancements that greatly improved its performance. My client-facing skills were honed through my direct interactions with AIRBUS, where I addressed product delivery date optimization issues.
• Additionally, I developed several POCs and Deep Learning-based solutions for text and structured problems, while continually researching over State-of-the-Art Natural Language Generation (NLG), furthering my expertise in this exciting domain.
• Keywords: Machine Learning, Natural Language Processing (NLP), AutoML, Reinforcement Learning, Speech-to-Speech Translation.

Oct 2018 – Apr 2019 · 6 mos · Noida Area, India

• In my role as Senior Member of Technical Staff at NEC Technologies India, I had the privilege of leading a dynamic team of 8 members, specializing in the design and deployment of AI solutions for various projects.
• As the lead of the AI Team, my responsibilities extended beyond team management. I was entrusted with comprehending the client's requirements, designing tailored solutions, and implementing these using Python and various Machine Learning libraries, always ensuring the highest quality deliverables.
• A key aspect of my role involved applying deep learning concepts to solve complex problems. Leveraging my expertise in Natural Language Processing and Reinforcement Learning, I contributed to enhancing our project outcomes and fostering innovation within our team.

Jul 2016 – Sep 2018 · 2 yrs 2 mos · Noida Area, India

• In my role as Member of Technical Staff at NEC Technologies India, I honed my skills in the development of versatile AI systems in accordance with specific project requirements. This included exploring and implementing various subdomains of Machine Learning, namely Supervised, Unsupervised, and Reinforcement Learning.
• My work extensively involved the application of Natural Language Processing (NLP) and Deep NLP, which allowed me to design and create state-of-the-art models. Furthermore, I utilized deep learning methodologies on available datasets to extract valuable insights, employing robust tools such as TensorFlow and Keras to facilitate this process.
• Keywords: AI Systems Development, Machine Learning, Natural Language Processing (NLP), Deep Learning, TensorFlow, Keras.

Jun 2015 – Jul 2015 · 1 mo · Ghaziabad, Uttar Pradesh, India

• As a Summer Intern at ITC Infotech, I had the opportunity to be part of a dynamic team working on project development using J2EE. This hands-on experience allowed me to refine my skills in Java programming and enterprise-level application development, while also providing valuable insights into collaborative software development processes. My tenure fostered not only technical growth, but also the practical application of teamwork and communication in a professional IT environment.

Apr 2015 – May 2015 · 1 mo · HBTI Kanpur

• As the Technical Head for the Training and Placement Cell (2015-16) at HBTI Kanpur, I held a pivotal role in steering the campus placements to success. My responsibilities included overseeing all technical arrangements, ensuring seamless execution of the placement process.
• This encompassed the planning and implementation of IT infrastructure necessary for the conduct of placement-related activities, from online tests to video interviews. I worked closely with our team to ensure the setup was in place, functional, and prepared to handle any contingencies, thereby providing an efficient and smooth experience for both the students and the visiting companies.
• In this role, I honed my leadership, project management, and technical skills, making a tangible impact on the placement outcomes for our students and building strong relationships with our industry partners.